Triple
T18790349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lille town hall |
E459495
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Mayor of Lille |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mayor of Lille | Statement: [Lille town hall, usedBy, Mayor of Lille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayor of Lille Context triple: [Lille town hall, usedBy, Mayor of Lille]
-
A.
Mayor of Lille
chosen
The Mayor of Lille is the chief elected official responsible for governing and administrating the city of Lille in northern France.
-
B.
Mayor of Lyon
The Mayor of Lyon is the elected head of the municipal government of Lyon, one of France’s largest and most historically significant cities.
-
C.
Mayor of Mons
The Mayor of Mons is the chief elected official responsible for governing the Belgian city of Mons in the Walloon region.
-
D.
Mayor of Nice
The Mayor of Nice is the elected head of the municipal government responsible for leading the administration and representing the French city of Nice.
-
E.
Mayor of Neuilly-sur-Seine
The Mayor of Neuilly-sur-Seine is the chief elected official responsible for governing the affluent suburban commune of Neuilly-sur-Seine, just west of central Paris.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5978599008190aaceaff1b1e0a2c7 |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:53 a.m.